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Record W2538127543 · doi:10.1115/ipc2000-248

False Flow Registration in the Return Run of a Meter Station Due to Pulsation Amplifications

2000· article· en· W2538127543 on OpenAlexaff
K. K. Botros, J. Geerligs

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsNova Chemicals (Canada)
Fundersnot available
KeywordsFlow (mathematics)Metering modeMetreFlow measurementAcousticsUltrasonic flow meterComputer scienceEngineeringSimulationElectrical engineeringMechanical engineeringPhysicsMechanics

Abstract

fetched live from OpenAlex

Meter stations located close to producers of natural gas often experience pulsation problems due to flow oscillations generated by reciprocating compressors required to pressurize the gas for pipeline transmission. The present paper deals with a unique metering pulsation problem in that despite the low level of pulsation that is not impairing the accuracy of the primary metering device (orifice) on the main run, a false registration of flow in the return run is observed. This was found to be caused by an acoustic resonance in the return run during the normal forward flow operation of the station. Field measurements of pulsation levels were taken at several locations in the meter station and a flow-acoustic analysis was conducted on the entire station using a flow-acoustic simulator (PULS). Investigation into the cause of the check valve chattering on the return run and registration of back flow were clearly identified as being caused by the return run tuned to a quarter wave length corresponding to the 1st harmonic of the pulsation source. It was found that simple pulsation abatement devices such as a Kotter plate, or even conventional flow conditioners such as NOVA 50E flow conditioner and coalescing filters (though not intended to be used as pulsation abatement devices) were not suitable to alleviate the problem. The problem was best solved in this case by a conventional acoustic expander inserted on the return run which resulted in completely eliminating check valve chattering and the false flow registration in the return run since implementation. It was concluded that it is important to recognize the nature of an acoustic problem before implementing general abatement devices that were sold as ‘cure-for-all-problems’.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.159

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.213
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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